Datasets require citations for the same reasons as journal articles, books, proceedings, and so on: to acknowledge the original author/producer and to help other researchers find the resource.
A dataset citation includes the same components as any other citation:
Unfortunately, there is no uniform standard or guideline for citing datasets.
Research data in an open access repository is findable and citable.
In addition, you can create a free account on ORCiD, ImpactStory, ResearchGate, or Google Scholar, etc. You can add links in your profile to unique URIs (or DOIs) of your datasets, just as for other publications.
Sharing your valuable research data after the project is complete is an avenue that more and more researchers are taking. Some publishers are increasingly requiring authors to make available the data that support their results published in accepted articles:
Sharing data allows new research that builds on what has come before, without other researchers having to duplicate the same work. It also legitimizes your work and allows others to verify your research and conclusions. Ultimately, sharing your data serves as a public good to academia and future research.
TRU Library hosted solutions: At TRU Library, we offer TRUSpace, a cross-disciplinary campus institutional repository where final small datasets can be stored.
External repositories: re3data.org is a directory tool for helping people identify and locate either disciplinary or institutional repository to share research data. Your liaison librarian can advise on available repositories in your field or contact Kathy Gaynor, Scholarly Communications Librarian.
A license defines what others may or may not do with your data. You may choose to assign a broad license that allows anyone to do whatever they like with your data, or you may assign a narrower license that restricts use to strictly non-commercial activities and requires attribution to the data creator each time it is used.